Hoptroff richard (30 resultados)

Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Condición: good. Book has corner edge dings and or scratches and signs of light wear.

Soft cover. Condición: Very Good. VERY GOOD softcover, no marks in text; a clean, gently used copy. Book.

Condición: New.

Paperback. Condición: New. Building and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues? This practical book introduces techniques for generating synthetic data-fake data generated from real data-so you can perform secondary analysis to do research, understand customer behaviors, develop new products, or generate new revenueData scientists will learn how synthetic data generation provides a way to make such data broadly available for secondary purposes while addressing many privacy concerns. Analysts will learn the principles and steps for generating synthetic data from real datasets. And business leaders will see how synthetic data can help accelerate time to a product or solution. This book describes:Steps for generating synthetic data using multivariate normal distributionsMethods for distribution fitting covering different goodness-of-fit metrics How to replicate the simple structure of original data An approach for modeling data structure to consider complex relationshipsMultiple approaches and metrics you can use to assess data utilityHow analysis performed on real data can be replicated with synthetic dataPrivacy implications of synthetic data and methods to assess identity disclosure.…

Condición: As New. Unread book in perfect condition.

Soft cover. Condición: New. No Jacket. Copy is clean: there are no labels, writing, highlighting, tears, dog-ears or folded pages; the binding is tight & covers are structurally sound. Immediate shipping. If, upon delivery, you believe we inflated the condition of your book or we missed a defect, we will make it right. NOTE: REGULAR SHIPPING WITHIN THE CONTINENTAL USA IS $4.99. INTERNATIONAL SHIPPING WILL BE HIGHER DEPENDING ON YOUR LOCATION.…

Condición: New.

Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condición: New.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: Brand New. 151 pages. 9.25x7.00x0.50 inches. In Stock.

Condición: New.

Condición: New. pp. 175.

Condición: New. In English.

Condición: As New. Unread book in perfect condition.

Condición: New. pp. 175.

Condición: New.

Paperback. Condición: New. Building and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues? This practical book introduces techniques for generating synthetic data-fake data generated from real data-so you can perform secondary analysis to do research, understand customer behaviors, develop new products, or generate new revenueData scientists will learn how synthetic data generation provides a way to make such data broadly available for secondary purposes while addressing many privacy concerns. Analysts will learn the principles and steps for generating synthetic data from real datasets. And business leaders will see how synthetic data can help accelerate time to a product or solution. This book describes:Steps for generating synthetic data using multivariate normal distributionsMethods for distribution fitting covering different goodness-of-fit metrics How to replicate the simple structure of original data An approach for modeling data structure to consider complex relationshipsMultiple approaches and metrics you can use to assess data utilityHow analysis performed on real data can be replicated with synthetic dataPrivacy implications of synthetic data and methods to assess identity disclosure.…

Condición: New.

Condición: New. In English.

Condición: New. Building and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues? This practical book introduces techniques for generating synthetic data so you can perform se.

Taschenbuch. Condición: Neu. Neuware - Building and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues This practical book introduces techniques for generating synthetic datafake data generated from real dataso you can perform secondary analysis to do research, understand customer behaviors, develop new products, or generate new revenue.Data scientists will learn how synthetic data generation provides a way to make such data broadly available for secondary purposes while addressing many privacy concerns. Analysts will learn the principles and steps for generating synthetic data from real datasets. And business leaders will see how synthetic data can help accelerate time to a product or solution.This book describes:- Steps for generating synthetic data using multivariate normal distributions- Methods for distribution fitting covering different goodness-of-fit metrics- How to replicate the simple structure of original data- An approach for modeling data structure to consider complex relationships- Multiple approaches and metrics you can use to assess data utility- How analysis performed on real data can be replicated with synthetic data- Privacy implications of synthetic data and methods to assess identity disclosure.…

Condición: As New. Unread book in perfect condition.

Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condición: New. Print on Demand pp. 180 Illus.

Condición: New. Print on Demand pp. 180.

Condición: New. PRINT ON DEMAND pp. 180.

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides an overview of data mining technology and how it is applied in a business environment. This volume describes the corresponding data mining methodologies that are used to solve a variety of business problems which enhance firm-level efficiency in a .…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An overview of data mining technology and how it is applied in a business environment. Methodologies are described that solve a variety of business problems and enhance firm-level efficiency in a less technical, managerial style. The book also incorporates the data mining process into the spectrum of complementary technologies that together comprise corporate information systems that promote business intelligence. Business intelligence involves the proliferation of value-added information throughout a given enterprise through the use of various software applications that promote efficiency for the firm.…